Abstract
In recent years, the pre-training model represented by BERT has achieved significant improvement in many NLP tasks. However, because the MLM pre-training task used by the pre-training language model is different from the auto-regressive language model, it is difficult to apply it in the field of machine translation. This article introduces the basic concepts of machine translation, pre-training language models and BERT. In addition, it introduces the current research on pre-trained language models that can be used for machine translation and the prospects for future research in detail.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
